PREDICT 2: Personalized Responses to Dietary Composition Trial 2

Foods in the human diet can affect the development of diseases over time, such as diabetes or heart disease. This is because the amount and types of foods in the diet eat can affect a person's weight, and because different foods are metabolised (processed) by the body in different ways.

Scientists have also found that the bacteria in the human gut (the gut microbiome) affect their metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect the levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often for too long, there is a greater chance of developing diseases such as diabetes and cardiovascular disease.

The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in the human gut are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome.

The study investigators are recruiting volunteers aged 18-70 years to take part in a study that aims to answer the questions above. Participants will be asked to consume standardised meals on up to 8 days while wearing glucose monitors (Abbott Freestyle Libre) to measure their blood sugar levels. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record their appetite, food, physical activity and sleep using apps and wearable devices. They will be asked to collect a fecal and saliva sample before consuming the standardised meals, and to provide a fasted blood sample at the end of the study period.

Study Overview

• Status: Completed
• Conditions: Heart Diseases; Healthy; Obesity; Diabetes; Diet Modification; Microbial Colonization; Diet Habit; Metabolism
• Intervention / Treatment: Other: Dietary Intervention

Detailed Description

Choice of design: The study is a single arm mechanistic intervention study.

Study population: Participants will be recruited through online and offline advertisements, and through health professionals.

Screening Assessment: Prospective participants will be selected based on the defined inclusion and exclusion criteria by the study management team. Screening will be online and via phone. Prospective participants will be booked in to start their study period and will receive a study kit by post.

Study duration: Each participant will take part in the study for a period of up to 12 days.

Dietary intervention: The dietary intervention will be carried out on up to 8 days within the 12-day study period. On day one, participants will be asked to collect biological samples and fit wearable devices (glucose monitor and physical activity tracker). Over the following consecutive days, each participant will be instructed to eat up to 8 standardised meals for breakfast, which must be their first meal of the day. On up to 3 of the days the participants will also be asked to eat a standardised lunch. Participants are free to eat whatever they wish at all other times. The standardised meals will be provided to all participants by the study team via post. The foods included as part of these meals will be foods that are commonly consumed and can be made from products sold in US supermarkets. Participants will be reassured that the amount of food will be designed to ensure a stable body weight over the course of the study. Participants will be asked to consume the entire amount of food indicated for the standardised meals and to record any left-over food via a digital app for which training will be provided at the start of the study. Following completion of standardised meal days, participants are free to eat and drink whatever they wish and will be asked to track all meals, snacks and drinks on their digital app. Participants will also be advised not to change their physical activity patterns during the course of the study. The 12th day of the study involves a visit to a medical clinic where participants will provide a fasted blood sample.

Regular contact will be made with the participants via phone, their app and text messages for the period of the intervention to encourage compliance and answer any queries.

Anthropometry: The participant will be instructed to measure their weight, height, waist and hip circumference.

Dietary and Lifestyle: Participants will be asked to complete a baseline questionnaire online, as well as a diet history questionnaire with portion sizes about the month preceding their study period. They will be asked to record on a daily basis their dietary, activity, and psychological data (e.g. hunger) using a digital mobile phone app. Lifestyle information (such as sleep and exercise) will be monitored using digital wearable devices. Training in all apps and equipment will be given through written and online instructions and via communications with the study support staff.

Digital devices: Participants will be asked to record daily dietary and activity information using digital apps and lifestyle information will be monitored using digital wearable devices. The continuous glucose monitor (Freestyle Libre, CGM) provides continuous glucose profiles for up to 14 days. The CGM will be inserted on the back of the upper arm, one day before participants begin dietary intervention. This will measure subcutaneous interstitial fluid glucose concentrations every 5 minutes. The CGM will be removed at the end of the intervention period by the participant. A contact number will be made available to participants for any inquiries or if any problems arise. Data from the CGM will be downloaded, and glucose profiles will be evaluated on the basis of data collected.

Blood samples: The participant will collect postprandial blood on 2 days using finger-prick blood sampling. They will also provide a fasted blood sample after the study period to measure their baseline metabolomic profile.

Digital app: Participants will be asked to download an app designed specifically for this study, which provides diet & activity logging functionality similar to widely used existing apps such as MyFitnessPal.

Participants will be asked to record and monitor the following information via the digital app and wearable devices, on a daily basis:

• All food and drink they consume, with serving sizes and photos
• Sleep and physical activity patterns, including exercise
• Hunger and alertness ratings
• Psychological feeling of energy and mood
• Prescription and over-the-counter drug consumption

The app will be available in versions for both iOS and Android operating systems, and will support a wide range of mobile phone models as expected across the participant population. The app will synchronise remotely with backend database servers, over an encrypted and authenticated API, and will support offline operation for when patients wish to record an entry without network coverage. This continuous background synchronization means that it will not be necessary to explicitly download data from the phone at the end of the study.

Following the 2020 pandemic of COVID-19, participants are asked to use the COVID-19 Symptom Tracker app to record their physical health symptoms, or lack thereof, attributable to COVID-19, as well as demographic and other health information to track the spread of disease in real time, and to potentially reveal risk factors for infection and severe illness.

Subcohort: An opt-in follow-on study will be offered to participants to follow dietary guidance from the ZOE app based on their Predict 2 results. During the first 2 to 4 weeks, participants will be given dietary guidance to follow from the ZOE app. Thereafter, for a period of up to 12 months, participants will be asked to report on outcome measures at regular intervals (monthly). Outcome measures will be reported before, during and after the 2 to 4 week period and include weight, bristol stool, bowel habits, hunger, energy, alertness, stress, mood, activity, adherence to dietary advice, and app usage.

The data will be used to test the efficacy of the ZOE dietary advice in promoting weight loss and improvement of overall health, and may be stratified by age, sex, BMI, adherence and/or motivation to take part in the PREDICT 2 study.

• Study Type: Interventional
• Enrollment (Actual): 1139
• Phase: Not Applicable

Contacts and Locations

Study Locations

• United States
  • Massachusetts
    • Boston, Massachusetts, United States, 02118
      • Zoe US Inc.

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 16 years to 68 years (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

Description

Inclusion Criteria:

• Male or female
• 18-70 years of age (19 year age minimum in Alabama and Nebraska)
• Body mass index (BMI) between 16.5 and 49.9 kg/m2.
• Living in the continental USA.
• Able and willing to comply with the study protocol and provide informed consent.

Exclusion Criteria:

• Refuse or are unable to provide informed consent to participate in the study.
• Have ongoing, active inflammatory disease or condition e.g. Rheumatoid arthritis, systemic lupus erythematosus, polymyalgia and other connective tissue diseases.
• Have had cancer in the last two years, excluding skin cancer.
• Have been diagnosed with Inflammatory Bowel Disease (ulcerative colitis and Crohn's disease) or Celiac disease (gluten allergy), or any other long-term gastrointestinal disorder that would prevent the individual from safely eating normal US food. Irritable Bowel Syndrome is not an exclusion.
• Have had bariatric or other major gastrointestinal surgery.
• Have been medically advised that eating high-fat meals over a period of a few days might be dangerous.
• Currently suffer from severe anemia or jaundice.
• Have taken any of the following medications in the last three months:

immunosuppressants (including oral steroids) or antiretroviral therapies or antibiotics (excluding topical antibiotics). If diagnosed with non-alcoholic fatty liver disease, use of any steatogenic medications (amiodarone or methotrexate) or insulin in the last 3 months

• Have an uncontrolled intercurrent illness (e.g. hepatitis c, influenza)
• Are using proton pump inhibitors ("PPI"s such as omeprazole and pantoprazole), unless they are able to stop two weeks before the start of the study and abstain from use during the study.
• Have type 1 diabetes.
• Have type 2 diabetes and are taking insulin or sulfonyurea medications (such as Diamicron (Gliclazide), Diamicron MR (Gliclazide), Amaryl (Glimepiride), Daonil (Gilbenclamide or Glyburide), Gibenese (Glipizide), Minodiab (Glipizide), Tolbutamide (Tolbutamide)). For clarity, people with type 2 diabetes can participate if they take metformin or gliptins.
• Have type 2 diabetes and a fasting glucose level of >216mg/dL. These individuals wil be excluded whether or not they are on medication.
• Started antidepressant medication within the last 3 months, or are currently suffering from acute clinically diagnosed depression which is not well controlled.
• Have had a heart attack (myocardial infarction) or stroke in the last 6 months.
• Are pregnant or breastfeeding, have given birth in the last three months, or are planning to be pregnant in the next 3 months.
• Diagnosed with an eating disorder (e.g. anorexia nervosa or bulimia nervosa)
• Are vegan, or unwilling to consume foods that are part of the study.
• Do not have a mobile phone capable of running the Zoe study/results apps, or are unable to use their phone to operate the apps. As a consequence of this exclusion, all participants must be able to read and write in English, as the app is only available in English.
• Are unable to have continuous access to their smartphone or unable to wear the activity tracker on their arm for the duration of the study, e.g. because their work will not allow it.
• Have a known allergy to adhesives like that used to affix the continuous glucose monitor.
• Are unable or unwilling to visit a Quest center to provide fasting blood samples.
• Do not have access to wifi or unlimited mobile data to allow them to download the app for free and upload data during the study.
• Do not have a freezer to store study-related foods required for the study.

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Basic Science
• Allocation: N/A
• Interventional Model: Single Group Assignment
• Masking: None (Open Label)

Number of Arms

1

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: Dietary Intervention; Dietary intervention using standardised test meals, on up to 8 days within the study period.	Other: Dietary Intervention; To carry out an interventional dietary study using standardised meals to predict an individual's metabolic response to certain foods, using their gut microbiome, metabolic profile, and other measurable characteristics such as weight, sleep and exercise.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Gut microbiome species richness	Species count in fecal sample	1 Day
Lipids	Measurement of blood lipids	3 days
Glucose	Measurement of blood glucose	11 days
Sleep	Record of sleep pattern using a wearable device (i.e. fitness watch)	10 days
Physical activity	Record of physical activity using a wearable device (i.e. fitness watch)	10 days
Hunger and appetite assessment	Record of hunger and appetite patterns using a digital app	10 days

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Glucose metabolism	C-peptide	3 days
Dietary assessment	Weighed food log	10 days
Anthropometry	Weight (kg)	1 day
Anthropometry	Height (cm)	1 day
Anthropometry	Hip and waist circumference (cm)	1 day
Metabolomics by NMR analysis	Lipoprotein concentration (mol/L), lipoprotein composition (mol/L), glycoprotein acetyl concentration (mol/L), ketone bodies concentration (mol/L)	1 day
Dietary assessment	Diet history and portion size questionnaire about the preceding month, using the Diet History Questionnaire 3 from National Cancer Institute.	1 month
Covid-19 symptom assessment	Self-reported demographic and physical health symptoms, or lack thereof, reported on a daily basis.	6 months

Other Outcome Measures

Outcome Measure	Measure Description	Time Frame
Adherence (in sub-cohort)	Self-reported in-app question on daily frequency of adherence (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Hunger (in sub-cohort)	Self-reported in-app question on hunger levels (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Weight (in sub-cohort)	Self-reported in-app question on weight (lbs)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Bristol Stool Category (in sub-cohort)	Self-reported in-app Bristol Stool chart questoin (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Bowel Frequency (in sub-cohort)	Self-reported in-app question on bowel frequency	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Energy (in sub-cohort)	Self-reported in-app question on energy levels (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Alertness (in sub-cohort)	Self-reported in-app question on alertness (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Stress (in sub-cohort)	Self-reported in-app question on stress (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Mood (in sub-cohort)	Self-reported in-app question on mood (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Activity (in sub-cohort)	Self-reported in-app question on daily frequency of activity (categorical)	12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Dietary assessment	Diet history and portion size questionnaire about the preceding month, using the Diet History Questionnaire 3 from National Cancer Institute.	12 months: 24 weeks, 52 weeks
Gut microbiome species richness	Species count in fecal sample	12 months: 24 weeks, 52 weeks

Collaborators and Investigators

• Sponsor: Zoe Global Limited
• Collaborators: King's College London; Massachusetts General Hospital; Tufts University; Stanford University
• Investigators: Principal Investigator: Tim Spector, Pr., Zoe Global Limited

Study record dates

Study Major Dates

• Study Start (Actual): June 10, 2019
• Primary Completion (Actual): March 31, 2020
• Study Completion (Actual): December 1, 2021

Study Registration Dates

• First Submitted: June 7, 2019
• First Submitted That Met QC Criteria: June 11, 2019
• First Posted (Actual): June 12, 2019

Study Record Updates

• Last Update Posted (Actual): January 18, 2022
• Last Update Submitted That Met QC Criteria: January 14, 2022
• Last Verified: January 1, 2022

More Information

Terms related to this study

• Keywords: Gut microbiome; Metabolic health; Postprandial metabolism; Personalised Nutrition
• Additional Relevant MeSH Terms: Pathologic Processes; Cardiovascular Diseases; Disease Attributes; Heart Diseases; Infections; Communicable Diseases
• Other Study ID Numbers: PREDICT 2

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: No

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No